Played around with MNIST until i got >99.50% accuracy. The model I used is a beefier LeNet with Dropout and Batch Normalization. Rand Augment was used to combat overfitting and increase overall accuracy.
Neural network architecture (BeefyLeNet):
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~99.50% accuracy on MNIST in PyTorch
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